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Cisco 300-640 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Infrastructure Operations | 20% | - Monitoring and Management Tools - Troubleshooting Common Issues - Performance Optimization - Capacity Planning |
| Cisco AI Infrastructure Architecture | 30% | - Storage Architecture Considerations - Network Architecture for AI Workloads - Cisco UCS AI Infrastructure Solutions - Hyperconverged Infrastructure for AI |
| AI Infrastructure Deployment | 25% | - Cabling and Connectivity - GPU Server Configuration - Network Switch Configuration - Storage Configuration for AI - Hardware Installation and Configuration |
| AI Infrastructure Fundamentals | 15% | - AI Ecosystem Components - AI Workload Characteristics - AI Infrastructure Requirements - GPU Architecture and Types |
| AI Infrastructure Security and Compliance | 10% | - Security Best Practices - Access Control and Authentication - Compliance Considerations |
Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:
1. An administrator configures VXLAN EVPN in a Cisco AI data center fabric. The requirement is to provide Layer 2 adjacency across multiple leaf switches while maintaining scalable control-plane learning. Which protocol fulfills this function?
A) BGP EVPN
B) OSPF
C) HSRP
D) STP
2. Server administrators receive reports of power utilization being near capacity across multiple UCS X-Series servers in the data center after a hardware upgrade. The chassis operates with six power supply units in redundant power mode. How can the administrator use additional power without impacting redundancy?
A) Implement a power capping policy.
B) Add more power supplies.
C) Disable extended power capacity.
D) Enable extended power capacity.
3. Which aspect of rapid provisioning supports a scalable workload execution in an AI infrastructure?
A) efficient launch of computational platforms
B) delayed rollout of new network resources
C) distinct management for isolated components
D) limited connectivity within isolated locations
4. A medium-sized breadmaking operation must deploy a fleet of GPU servers that meet these requirements for their flagship application:
- policy managed through cloud-based interface
- low latency between specific pairs of GPUs
- at least 2 GPUs per server
- all GPUs should be same model
- Intel CPU
- well suited for Inferencing
- customer is power conscious
Which server meets the requirements?
A) C245 M8
B) C845A M8
C) C885A M8
D) X210C M8 with x580 PCIe node
5. A bank is planning to deploy an AI inference solution at its branch locations. The solution must support workloads that require a balance of compute, memory, and potential GPU acceleration, and it must be suitable for installation by nontechnical onsite resources. The requirements are:
- high availability of the chassis management plane.
- support for up to 768 GB of memory for in-memory model storage and
processing
- remote server launch requiring no on-site IT staff
- use of Cisco Intersight for SaaS-based infrastructure lifecycle
management
Which solution meets the requirements?
A) Cisco UCS C845A M8 Server
B) Cisco UCS X-Series Direct
C) Cisco Unified Edge
D) Cisco UCS C240 Servers
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: C |






